Mathematics models
11
Models
10 organisations
67%
Open weights
4 open, 2 closed
2
Frontier
By Epoch's flag
7B
Largest traceable
Mathstral
1954–2025
Span
4 with a traceable size
Organisation
Records
11| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| Eurus-2-7B-PRIME | Tsinghua University | 2025-01 | 7B * | Open |
| INTELLECT-MATH | Prime Intellect | 2025-01 | 7B | Open |
| k0-math | Moonshot | 2024-11 | — | Closed |
| Mathstral | Mistral AI | 2024-07 | 7B | Open |
| AlphaGeometry | Google DeepMind | 2024-01 | 151M | Open |
| CoRe | Tsinghua University | 2023-12 | 12B * | Closed |
| Gradient Boosting Machine | Stanford University | 2001-10 | — | Not recorded |
| MLP with back-propagation | University of California San Diego | 1986-10 | 720 | Not recorded |
| Kohonen network | Helsinki University of Technology | 1981-07 | 4,096 * | Not recorded |
| Linear Decision Functions | Bell Laboratories | 1962-06 | — | Not recorded |
| Genetic algorithm | Institute for Advanced Study | 1954-07 | — | Not recorded |
An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.
Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.
Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.